Chia‐Jui Weng

2.5k total citations
36 papers, 2.1k citations indexed

About

Chia‐Jui Weng is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Chia‐Jui Weng has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Pharmacology and 9 papers in Pharmacology. Recurrent topics in Chia‐Jui Weng's work include Phytochemistry and Bioactivity Studies (6 papers), Protease and Inhibitor Mechanisms (6 papers) and Fungal Biology and Applications (6 papers). Chia‐Jui Weng is often cited by papers focused on Phytochemistry and Bioactivity Studies (6 papers), Protease and Inhibitor Mechanisms (6 papers) and Fungal Biology and Applications (6 papers). Chia‐Jui Weng collaborates with scholars based in Taiwan, United States and Singapore. Chia‐Jui Weng's co-authors include Gow‐Chin Yen, Shun‐Fa Yang, Chi‐Tang Ho, Chiung‐Man Tsai, Chi‐Fai Chau, Chiao‐Wen Lin, Yi‐Hsien Hsieh, Yen‐Ling Chen, Hsiao‐Wen Huang and Chi‐Tai Yeh and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Dental Research and Carcinogenesis.

In The Last Decade

Chia‐Jui Weng

36 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chia‐Jui Weng Taiwan 26 1.0k 413 384 292 287 36 2.1k
Choudhary Harsha India 21 1.2k 1.2× 262 0.6× 393 1.0× 226 0.8× 239 0.8× 28 2.3k
Kuang‐Chi Lai Taiwan 33 1.5k 1.4× 325 0.8× 393 1.0× 373 1.3× 507 1.8× 70 2.8k
Javadi Monisha India 21 1.1k 1.1× 314 0.8× 307 0.8× 206 0.7× 186 0.6× 29 2.2k
Jo‐Hua Chiang Taiwan 31 1.3k 1.3× 209 0.5× 316 0.8× 286 1.0× 321 1.1× 56 2.3k
Dharambir Kashyap India 23 1.5k 1.4× 237 0.6× 451 1.2× 299 1.0× 373 1.3× 48 2.7k
Nand Kishor Roy India 22 1.2k 1.2× 279 0.7× 493 1.3× 254 0.9× 202 0.7× 30 2.4k
Saleh A. Almatroodi Saudi Arabia 29 874 0.9× 229 0.6× 303 0.8× 252 0.9× 327 1.1× 75 2.4k
Bum Sang Shim South Korea 26 1.1k 1.1× 275 0.7× 193 0.5× 383 1.3× 224 0.8× 62 1.9k
Supachai Yodkeeree Thailand 27 869 0.9× 223 0.5× 238 0.6× 205 0.7× 245 0.9× 70 2.0k
Pawinee Piyachaturawat Thailand 30 1.2k 1.2× 595 1.4× 425 1.1× 536 1.8× 353 1.2× 138 3.0k

Countries citing papers authored by Chia‐Jui Weng

Since Specialization
Citations

This map shows the geographic impact of Chia‐Jui Weng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chia‐Jui Weng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Jui Weng more than expected).

Fields of papers citing papers by Chia‐Jui Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Jui Weng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chia‐Jui Weng. The network helps show where Chia‐Jui Weng may publish in the future.

Co-authorship network of co-authors of Chia‐Jui Weng

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Jui Weng. A scholar is included among the top collaborators of Chia‐Jui Weng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia‐Jui Weng. Chia‐Jui Weng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Yi‐Tzu, Ming‐Ju Hsieh, Pei‐Ni Chen, et al.. (2020). Erianin Induces Apoptosis and Autophagy in Oral Squamous Cell Carcinoma Cells. The American Journal of Chinese Medicine. 48(1). 183–200. 46 indexed citations
2.
Yen, Gow‐Chin, Chiung‐Man Tsai, Chi‐Cheng Lu, & Chia‐Jui Weng. (2018). Recent progress in natural dietary non-phenolic bioactives on cancers metastasis. Journal of Food and Drug Analysis. 26(3). 940–964. 17 indexed citations
3.
Chen, Tsung‐Po, Shun‐Fa Yang, Chiao‐Wen Lin, et al.. (2014). A4383C and C76G SNP in Cathepsin B is respectively associated with the high risk and tumor size of hepatocarcinoma. Tumor Biology. 35(11). 11193–11198. 8 indexed citations
4.
Weng, Chia‐Jui & Gow‐Chin Yen. (2012). Flavonoids, a ubiquitous dietary phenolic subclass, exert extensive in vitro anti-invasive and in vivo anti-metastatic activities. Cancer and Metastasis Reviews. 31(1-2). 323–351. 179 indexed citations
5.
Tsai, Chiung‐Man, et al.. (2012). Molecular mechanism depressing PMA-induced invasive behaviors in human lung adenocarcinoma cells by cis- and trans-cinnamic acid. European Journal of Pharmaceutical Sciences. 48(3). 494–501. 27 indexed citations
6.
Chen, Mu‐Kuan, Shih‐Chi Su, Chiao‐Wen Lin, et al.. (2012). Cathepsin B SNPs elevate the pathological development of oral cancer and raise the susceptibility to carcinogen-mediated oral cancer. Human Genetics. 131(12). 1861–1868. 11 indexed citations
7.
Weng, Chia‐Jui, et al.. (2012). Molecular mechanism inhibiting human hepatocarcinoma cell invasion by 6‐shogaol and 6‐gingerol. Molecular Nutrition & Food Research. 56(8). 1304–1314. 80 indexed citations
8.
Weng, Chia‐Jui, et al.. (2011). Single Nucleotide Polymorphisms and Haplotypes of MMP-14 are Associated with the Risk and Pathological Development of Oral Cancer. Annals of Surgical Oncology. 19(S3). 319–327. 16 indexed citations
9.
Chen, Tzy-Yen, Yi-Ching Li, Yu‐Fan Liu, et al.. (2011). Role of MMP14 Gene Polymorphisms in Susceptibility and Pathological Development to Hepatocellular Carcinoma. Annals of Surgical Oncology. 18(8). 2348–2356. 51 indexed citations
10.
Weng, Chia‐Jui & Gow‐Chin Yen. (2011). Chemopreventive effects of dietary phytochemicals against cancer invasion and metastasis: Phenolic acids, monophenol, polyphenol, and their derivatives. Cancer Treatment Reviews. 38(1). 76–87. 392 indexed citations
11.
Hsieh, Yih‐Shou, Chiung‐Man Tsai, Chao‐Bin Yeh, et al.. (2011). Survivin T9809C, an SNP Located in 3′-UTR, Displays a Correlation with the Risk and Clinicopathological Development of Hepatocellular Carcinoma. Annals of Surgical Oncology. 19(S3). 625–633. 19 indexed citations
12.
13.
Chen, Yen‐Ling, et al.. (2011). Transformation of cinnamic acid from trans- to cis-form raises a notable bactericidal and synergistic activity against multiple-drug resistant Mycobacterium tuberculosis. European Journal of Pharmaceutical Sciences. 43(3). 188–194. 85 indexed citations
14.
15.
16.
Weng, Chia‐Jui, et al.. (2010). Anti‐invasion effects of 6‐shogaol and 6‐gingerol, two active components in ginger, on human hepatocarcinoma cells. Molecular Nutrition & Food Research. 54(11). 1618–1627. 121 indexed citations
17.
Weng, Chia‐Jui, Chiung‐Man Tsai, Yi‐Chen Chen, et al.. (2010). Evaluation of the Association of Urokinase Plasminogen Activator System Gene Polymorphisms with Susceptibility and Pathological Development of Hepatocellular Carcinoma. Annals of Surgical Oncology. 17(12). 3394–3401. 29 indexed citations
18.
Weng, Chia‐Jui, et al.. (2010). Evaluation of Anti-invasion Effect of Resveratrol and Related Methoxy Analogues on Human Hepatocarcinoma Cells. Journal of Agricultural and Food Chemistry. 58(5). 2886–2894. 66 indexed citations
19.
Weng, Chia‐Jui, et al.. (2007). The anti‐invasive effect of lucidenic acids isolated from a new Ganoderma lucidum strain. Molecular Nutrition & Food Research. 51(12). 1472–1477. 58 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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